pull_requests

Table actions

1 row where user = 425260

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date), closed_at (date)

id ▼ node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
149970871 MDExOlB1bGxSZXF1ZXN0MTQ5OTcwODcx 1679 closed 0 Use numpy's normalize_axis_index, if available eric-wieser 425260 Curious if you think this is a good idea 2017-11-01T06:31:01Z 2020-01-24T21:46:54Z 2020-01-24T21:46:54Z   94003194a8bb2064970d27eeff5ff5972a779418     0 5133aa4a433eaa2f96cfb33e003fbb22ec882f5a bb87a9441d22b390e069d0fde58f297a054fd98a NONE   xarray 13221727 https://github.com/pydata/xarray/pull/1679  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [pull_requests] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [state] TEXT,
   [locked] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [body] TEXT,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [merged_at] TEXT,
   [merge_commit_sha] TEXT,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [draft] INTEGER,
   [head] TEXT,
   [base] TEXT,
   [author_association] TEXT,
   [auto_merge] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [url] TEXT,
   [merged_by] INTEGER REFERENCES [users]([id])
);
CREATE INDEX [idx_pull_requests_merged_by]
    ON [pull_requests] ([merged_by]);
CREATE INDEX [idx_pull_requests_repo]
    ON [pull_requests] ([repo]);
CREATE INDEX [idx_pull_requests_milestone]
    ON [pull_requests] ([milestone]);
CREATE INDEX [idx_pull_requests_assignee]
    ON [pull_requests] ([assignee]);
CREATE INDEX [idx_pull_requests_user]
    ON [pull_requests] ([user]);